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Abstract

Identifying and counting the total number of biological species observed to date, and plotting versusa measure of the effort used to record them, gives rise to a species accumulation curve. Interest typically is concerned with estimating the total number of species in the area of study, having observed only the accumulation curve, having no information on species frequencies. This article considers the problem of optimally stopping the sampling process. We use a sequential procedure with a fixed maximum horizon for accumulation. A utility function based on the number of new species to be observed and the effort saved from the maximum horizon is adopted, and a workable algorithm based on backward induction is obtained. An example in accumulation of bat species is also presented.

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References

  • Berger, J. O. (1985), Statistical Decision Theory and Bayesian Analysis (2nd ed.), New York: Springer-Verlag.

    MATH  Google Scholar 

  • Berry, D. A., Müller, P., Grieve, A. P., Smith, M., Parke, T., Blazek, R., Mitchard, N., and Krams, M. (2000), “Adaptive Bayesian Designs for Dose-Ranging Drug Trials,” in Case Studies in Bayesian Statisics V, eds. C. Gatsonis, R. E. Kass, B. Carlin, A. Carriquiry, A. Gelman, I. Verdinelli, and M. West, New York: Springer Verlag.

    Google Scholar 

  • Carlin, B., Kadane, J., and Gelfand, A. (1998), “Approaches for Optimal Sequential Decision Analysis in Clinical Trials,” Biometrics, 54, 964–975.

    Article  MATH  Google Scholar 

  • Christen, J. A., and Nakamura, M. (2000), “On the Analysis of Accumulation Curves,” Biometrics, 56, 748–754.

    Article  MATH  Google Scholar 

  • Colwell, R. K., and Coddington, J. A. (1994), “Estimating Terrestrial Biodiversity Trough Extrapolation,” Philosophical Transactions of the Royal Society of London, Ser. B, 345, 101–118.

    Article  Google Scholar 

  • Goudie, I. B. (1990), “A Likelihood-Based Stopping Rule for Recapture Debugging,” Biometrika, 77, 203–206.

    Article  MATH  MathSciNet  Google Scholar 

  • Nakamura, M., and Peraza, F. (1998), “Species Accumulation for Beta Distributed Recording Probabilities,” Journal of Agricultural, Biological, and Environmental Statistics, 3, 17–36.

    Article  MathSciNet  Google Scholar 

  • Nayak, T. K. (1988), “Estimating Population Size by Recapture Sampling,” Biometrika, 75, 113–120.

    Article  MATH  MathSciNet  Google Scholar 

  • Rasmussen, S. L., and Starr, N. (1979), “Optimal and Adaptive Stopping in the Search for New Species,” Journal of the American Statistical Association, 74, 661–667.

    Article  MATH  MathSciNet  Google Scholar 

Download references

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Correspondence to J. Andrés Christen.

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Christen, J.A., Nakamura, M. Sequential stopping rules for species accumulation. JABES 8, 184–195 (2003). https://doi.org/10.1198/1085711031553

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  • DOI: https://doi.org/10.1198/1085711031553

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